-----------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  c:\expats\LINES\lines16\Tab4-6.log
  log type:  text
 opened on:  11 Apr 2021, 11:42:16

. * Amelia II used to impute missing data values, m=100, random number seed=902;
. * See Supplemental Table 8 for question wordings;
. * the key independent variables are loser2 (2=strong preference for unsuccessful candidate, 1
> =weak preference for an unsuccessful candidate, 0=did not prefer and unsuccessful candidate) 
> and demidord2 (3=strong Democratic identifier, 2=weak Democratic ID, 1=lean Dem ID, 0=do not 
> identify as a Democrat);
. use c:\expats\lines\lines16\pii_worry-imp.dta;

. mi import flong, m(imp) id(ID_W1_W2_W3) imp(worrydeport3 worryfin3
> immrally3 rally1 partic1 partic3
> trustwash1 trustwash3 nosay1 nosay3 publicoffnocare1 publicoffnocare3
> trustamer1 trustamer3 return1 return3
> religpool timeus agepool schoolpool famincpool spanhome 
> marriedpool ownhome 
> female weight civicstatus freshw2 freshw3 mex
> hometownassoc difstatelaw_2017);
(2223 m=0 obs. now marked as incomplete)

. ** code to produce results in Tables 4-6;
. mi estimate: reg trustwash3 trustwash1 worrydeport3   i.civicstatus time age span school fami
> nc female ownhome relig mex difstatelaw_2017 [pweight=weight];

Multiple-imputation estimates                   Imputations       =        100
Linear regression                               Number of obs     =      2,560
                                                Average RVI       =     1.3548
                                                Largest FMI       =     0.7032
                                                Complete DF       =       2545
DF adjustment:   Small sample                   DF:     min       =     159.85
                                                        avg       =     249.47
                                                        max       =     345.59
Model F test:       Equal FMI                   F(  14, 1575.5)   =       2.24
Within VCE type:       Robust                   Prob > F          =     0.0052

----------------------------------------------------------------------------------
      trustwash3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
      trustwash1 |   .1304968   .0471831     2.77   0.006     .0373142    .2236794
    worrydeport3 |  -.0470279   .0254173    -1.85   0.065    -.0970665    .0030106
                 |
     civicstatus |
              1  |   .1327272   .0915792     1.45   0.148    -.0474079    .3128624
              2  |   .0230728   .0921934     0.25   0.803    -.1582581    .2044036
                 |
          timeus |   .0003999   .0037257     0.11   0.915    -.0069436    .0077433
         agepool |   .0035457   .0035658     0.99   0.321    -.0034841    .0105755
        spanhome |  -.0375405   .0426072    -0.88   0.379    -.1215161    .0464351
      schoolpool |  -.0021071   .0106654    -0.20   0.844    -.0231285    .0189143
      famincpool |  -.0266462   .0314768    -0.85   0.398    -.0886723    .0353799
          female |  -.1491215   .0713994    -2.09   0.038    -.2897171   -.0085259
         ownhome |  -.0279738   .0774732    -0.36   0.718    -.1805298    .1245821
       religpool |   .0358207   .0253281     1.41   0.159    -.0140859    .0857273
             mex |  -.0589302    .078804    -0.75   0.455    -.2139573    .0960969
difstatelaw_2017 |   -.014494   .0135189    -1.07   0.285    -.0411194    .0121314
           _cons |   2.213248   .3348951     6.61   0.000     1.553194    2.873302
----------------------------------------------------------------------------------

. mi estimate: reg nosay3 nosay1 worrydeport3  i.civicstatus time age span school faminc female
>  ownhome relig mex difstatelaw_2017 [pweight=weight];

Multiple-imputation estimates                   Imputations       =        100
Linear regression                               Number of obs     =      2,560
                                                Average RVI       =     1.0686
                                                Largest FMI       =     0.6725
                                                Complete DF       =       2545
DF adjustment:   Small sample                   DF:     min       =     175.15
                                                        avg       =     306.15
                                                        max       =     414.32
Model F test:       Equal FMI                   F(  14, 1726.6)   =       2.83
Within VCE type:       Robust                   Prob > F          =     0.0003

----------------------------------------------------------------------------------
          nosay3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
          nosay1 |   .1834133   .0480864     3.81   0.000       .08851    .2783166
    worrydeport3 |   .0305362   .0400073     0.76   0.446    -.0481692    .1092416
                 |
     civicstatus |
              1  |   .1843786   .1559572     1.18   0.238     -.122487    .4912442
              2  |  -.0245498   .1637924    -0.15   0.881    -.3469818    .2978821
                 |
          timeus |   .0047757   .0057079     0.84   0.404     -.006462    .0160134
         agepool |  -.0024854   .0054654    -0.45   0.650    -.0132458     .008275
        spanhome |   .0231736   .0635358     0.36   0.716    -.1017853    .1481325
      schoolpool |   .0026418   .0165922     0.16   0.874    -.0300053    .0352889
      famincpool |   -.098053   .0471063    -2.08   0.038    -.1907154   -.0053906
          female |   .0530262   .1130171     0.47   0.639    -.1692846    .2753371
         ownhome |   .0112899   .1230243     0.09   0.927    -.2308024    .2533822
       religpool |  -.0036049   .0402428    -0.09   0.929    -.0827631    .0755533
             mex |   .0171553   .1266705     0.14   0.892    -.2318417    .2661523
difstatelaw_2017 |    -.00754   .0211903    -0.36   0.722    -.0492413    .0341613
           _cons |   2.698559   .5590783     4.83   0.000     1.598022    3.799096
----------------------------------------------------------------------------------

. mi estimate: reg publicoffnocare3 publicoffnocare1  worrydeport3  i.civicstatus time age span
>  school faminc female ownhome relig mex difstatelaw_2017 [pweight=weight];

Multiple-imputation estimates                   Imputations       =        100
Linear regression                               Number of obs     =      2,560
                                                Average RVI       =     1.1944
                                                Largest FMI       =     0.6919
                                                Complete DF       =       2545
DF adjustment:   Small sample                   DF:     min       =     165.32
                                                        avg       =     279.10
                                                        max       =     364.51
Model F test:       Equal FMI                   F(  14, 1659.2)   =       1.47
Within VCE type:       Robust                   Prob > F          =     0.1148

----------------------------------------------------------------------------------
publicoffnocare3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
publicoffnocare1 |   .1317635   .0486789     2.71   0.008      .035651     .227876
    worrydeport3 |   .0522357   .0365768     1.43   0.154    -.0196924    .1241637
                 |
     civicstatus |
              1  |   -.102916   .1462243    -0.70   0.482    -.3906984    .1848663
              2  |   -.089876   .1552079    -0.58   0.563    -.3956015    .2158496
                 |
          timeus |   .0032156   .0054032     0.60   0.552    -.0074219    .0138531
         agepool |  -.0040795   .0049757    -0.82   0.413    -.0138751    .0057161
        spanhome |   .0434266   .0606609     0.72   0.475    -.0759161    .1627692
      schoolpool |   .0210578   .0147515     1.43   0.154    -.0079589    .0500746
      famincpool |  -.0062382   .0486535    -0.13   0.898    -.1020862    .0896098
          female |   .0235757    .110266     0.21   0.831    -.1935242    .2406757
         ownhome |   .0799468   .1201351     0.67   0.506    -.1566364      .31653
       religpool |  -.0371984   .0367431    -1.01   0.312    -.1094939     .035097
             mex |   .0754226   .1269643     0.59   0.553    -.1744307    .3252759
difstatelaw_2017 |  -.0120747   .0198271    -0.61   0.543     -.051101    .0269515
           _cons |   2.834131   .5051204     5.61   0.000     1.839502    3.828761
----------------------------------------------------------------------------------

. mi estimate: reg trustamer3 trustamer1 worrydeport3  i.civicstatus time age span school famin
> c female ownhome relig mex difstatelaw_2017 [pweight=weight];

Multiple-imputation estimates                   Imputations       =        100
Linear regression                               Number of obs     =      2,560
                                                Average RVI       =     1.1958
                                                Largest FMI       =     0.6567
                                                Complete DF       =       2545
DF adjustment:   Small sample                   DF:     min       =     183.66
                                                        avg       =     279.69
                                                        max       =     419.60
Model F test:       Equal FMI                   F(  14, 1642.4)   =       4.84
Within VCE type:       Robust                   Prob > F          =     0.0000

----------------------------------------------------------------------------------
      trustamer3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
      trustamer1 |   .2207133   .0461529     4.78   0.000     .1296551    .3117714
    worrydeport3 |   .0053594   .0329794     0.16   0.871    -.0595718    .0702907
                 |
     civicstatus |
              1  |   .1330215   .1315329     1.01   0.313    -.1260817    .3921246
              2  |   .1233041   .1271559     0.97   0.333    -.1269939    .3736021
                 |
          timeus |  -.0025736   .0045326    -0.57   0.571    -.0114982    .0063511
         agepool |    .002766   .0042809     0.65   0.519    -.0056617    .0111937
        spanhome |  -.0921598   .0518015    -1.78   0.076    -.1941769    .0098573
      schoolpool |   .0478109   .0131938     3.62   0.000      .021844    .0737779
      famincpool |  -.0244131   .0429156    -0.57   0.570    -.1090112     .060185
          female |  -.1699925   .0871043    -1.95   0.052    -.3413176    .0013327
         ownhome |   .0462267   .1017035     0.45   0.650    -.1541025    .2465559
       religpool |  -.0073591   .0302247    -0.24   0.808    -.0667698    .0520516
             mex |   .1179364   .1005688     1.17   0.242    -.0799481    .3158209
difstatelaw_2017 |  -.0188125   .0176939    -1.06   0.289    -.0536413    .0160163
           _cons |   2.220132   .4003054     5.55   0.000     1.432652    3.007612
----------------------------------------------------------------------------------

. mi estimate: ologit return3 return1 worrydeport3  i.civicstatus time age span school faminc f
> emale ownhome relig mex difstatelaw_2017 [pweight=weight];

Multiple-imputation estimates                   Imputations       =        100
Ordered logistic regression                     Number of obs     =      2,560
                                                Average RVI       =     1.0758
                                                Largest FMI       =     0.7414
DF adjustment:   Large sample                   DF:     min       =     181.48
                                                        avg       =     430.15
                                                        max       =     563.25
Model F test:       Equal FMI                   F(  14, 5210.5)   =       7.44
Within VCE type:       Robust                   Prob > F          =     0.0000

----------------------------------------------------------------------------------
         return3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
         return1 |   1.030834   .1625777     6.34   0.000     .7100488     1.35162
    worrydeport3 |   .0654483   .0633954     1.03   0.302    -.0590811    .1899778
                 |
     civicstatus |
              1  |  -.2945161   .2496268    -1.18   0.239    -.7854015    .1963692
              2  |  -.3129586   .2560397    -1.22   0.222    -.8166964    .1907792
                 |
          timeus |  -.0151446   .0096668    -1.57   0.118    -.0341582     .003869
         agepool |  -.0091939   .0091622    -1.00   0.316     -.027227    .0088393
        spanhome |    .068106   .1124424     0.61   0.545    -.1529321     .289144
      schoolpool |  -.0029864   .0259846    -0.11   0.909    -.0540422    .0480693
      famincpool |  -.0275937   .0731502    -0.38   0.706    -.1712742    .1160869
          female |  -.4441827   .1721578    -2.58   0.010    -.7823942   -.1059713
         ownhome |   .1331392   .1918952     0.69   0.488    -.2438006    .5100791
       religpool |  -.0411078   .0639712    -0.64   0.521    -.1667974    .0845819
             mex |  -.0368393   .2087159    -0.18   0.860    -.4468882    .3732095
difstatelaw_2017 |  -.0121035   .0333443    -0.36   0.717    -.0776412    .0534342
-----------------+----------------------------------------------------------------
           /cut1 |   1.272933   .8224467                     -.3433631    2.889228
           /cut2 |    2.34812   .8463792                      .6845344    4.011707
----------------------------------------------------------------------------------

. mi estimate: logit immrally3 rally1 worrydeport3  i.civicstatus time age span school faminc f
> emale ownhome relig mex difstatelaw_2017 [pweight=weight];

Multiple-imputation estimates                   Imputations       =        100
Logistic regression                             Number of obs     =      2,560
                                                Average RVI       =     0.8400
                                                Largest FMI       =     0.5665
DF adjustment:   Large sample                   DF:     min       =     311.52
                                                        avg       =     527.51
                                                        max       =     760.83
Model F test:       Equal FMI                   F(  14, 6870.6)   =       2.36
Within VCE type:       Robust                   Prob > F          =     0.0029

----------------------------------------------------------------------------------
       immrally3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
          rally1 |   .4439777   .3366022     1.32   0.188    -.2183237    1.106279
    worrydeport3 |   .1931957   .0751173     2.57   0.010     .0456287    .3407627
                 |
     civicstatus |
              1  |  -.3635177   .2674252    -1.36   0.175    -.8887955    .1617601
              2  |   -.407918   .2719267    -1.50   0.134    -.9424418    .1266057
                 |
          timeus |   .0180504   .0110525     1.63   0.103    -.0036765    .0397772
         agepool |  -.0305202   .0101525    -3.01   0.003    -.0504616   -.0105788
        spanhome |  -.0020309   .1096077    -0.02   0.985    -.2173384    .2132765
      schoolpool |   .0122845   .0287816     0.43   0.670    -.0442425    .0688116
      famincpool |   .0597255   .0855415     0.70   0.485    -.1084419    .2278928
          female |  -.1537825   .1907686    -0.81   0.420    -.5284473    .2208822
         ownhome |  -.0412283   .2294497    -0.18   0.857     -.491914    .4094575
       religpool |  -.0165276   .0668475    -0.25   0.805    -.1477604    .1147051
             mex |   .0578864   .2249871     0.26   0.797    -.3837829    .4995556
difstatelaw_2017 |   .0324718   .0386345     0.84   0.401    -.0434411    .1083848
           _cons |    -1.0036   .8902619    -1.13   0.260    -2.753104    .7459049
----------------------------------------------------------------------------------

. mi estimate: ologit partic3 partic1 worrydeport3  i.civicstatus time age span school faminc f
> emale ownhome relig mex difstatelaw_2017 [pweight=weight];

Multiple-imputation estimates                   Imputations       =        100
Ordered logistic regression                     Number of obs     =      2,560
                                                Average RVI       =     0.9773
                                                Largest FMI       =     0.6231
DF adjustment:   Large sample                   DF:     min       =     257.36
                                                        avg       =     403.61
                                                        max       =     606.99
Model F test:       Equal FMI                   F(  14, 5540.9)   =       9.02
Within VCE type:       Robust                   Prob > F          =     0.0000

----------------------------------------------------------------------------------
         partic3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
         partic1 |    .857604   .1170291     7.33   0.000     .6271475     1.08806
    worrydeport3 |   .0931049   .0583391     1.60   0.111    -.0215462     .207756
                 |
     civicstatus |
              1  |  -.1568854    .225084    -0.70   0.486    -.5993044    .2855336
              2  |  -.1947874   .2422535    -0.80   0.422    -.6712666    .2816918
                 |
          timeus |   .0175579   .0085897     2.04   0.042     .0006665    .0344492
         agepool |  -.0170503   .0082598    -2.06   0.040    -.0332963   -.0008043
        spanhome |   .0347986   .0891872     0.39   0.697    -.1405152    .2101123
      schoolpool |    .049613   .0235857     2.10   0.036     .0032656    .0959604
      famincpool |   .1374476   .0748822     1.84   0.068    -.0099644    .2848597
          female |   .0192242   .1589214     0.12   0.904    -.2930284    .3314769
         ownhome |   .0099777   .1703308     0.06   0.953    -.3246605    .3446159
       religpool |    .084193   .0549195     1.53   0.126    -.0236623    .1920483
             mex |   .1325336   .1861926     0.71   0.477    -.2333378    .4984049
difstatelaw_2017 |   .0462418   .0338971     1.36   0.173    -.0204114    .1128951
-----------------+----------------------------------------------------------------
           /cut1 |   2.031123    .750316                      .5556568    3.506589
           /cut2 |   3.436969   .7714509                      1.919743    4.954195
           /cut3 |   4.947408   .7741781                      3.424759    6.470057
----------------------------------------------------------------------------------

. ** impact of financial worries (measured in W3) on civic attitudes / participation;
. mi estimate: reg trustwash3 trustwash1  worryfin3  i.civicstatus time age span school faminc 
> female ownhome relig mex difstatelaw_2017 [pweight=weight];

Multiple-imputation estimates                   Imputations       =        100
Linear regression                               Number of obs     =      2,560
                                                Average RVI       =     1.3506
                                                Largest FMI       =     0.6995
                                                Complete DF       =       2545
DF adjustment:   Small sample                   DF:     min       =     161.60
                                                        avg       =     249.90
                                                        max       =     354.89
Model F test:       Equal FMI                   F(  14, 1576.5)   =       2.12
Within VCE type:       Robust                   Prob > F          =     0.0088

----------------------------------------------------------------------------------
      trustwash3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
      trustwash1 |   .1289966   .0470092     2.74   0.007      .036165    .2218282
       worryfin3 |  -.0316762   .0306162    -1.03   0.302    -.0919785     .028626
                 |
     civicstatus |
              1  |   .1401943   .0911336     1.54   0.125     -.039046    .3194347
              2  |   .0363291   .0915372     0.40   0.692    -.1436944    .2163526
                 |
          timeus |   .0003141   .0037239     0.08   0.933    -.0070254    .0076537
         agepool |   .0039815   .0035378     1.13   0.262    -.0029927    .0109558
        spanhome |  -.0377717   .0429414    -0.88   0.380    -.1224077    .0468642
      schoolpool |  -.0010769   .0106156    -0.10   0.919    -.0219973    .0198435
      famincpool |  -.0267896   .0318405    -0.84   0.401    -.0895418    .0359626
          female |  -.1491072    .071186    -2.09   0.037    -.2892702   -.0089443
         ownhome |  -.0296513   .0778871    -0.38   0.704    -.1830214    .1237188
       religpool |    .032954   .0254724     1.29   0.197    -.0172384    .0831463
             mex |  -.0777528   .0790561    -0.98   0.326    -.2332908    .0777852
difstatelaw_2017 |   -.014012   .0134458    -1.04   0.298    -.0404902    .0124662
           _cons |   2.144943   .3338486     6.42   0.000     1.487072    2.802814
----------------------------------------------------------------------------------

. mi estimate: reg nosay3 nosay1  worryfin3 i.civicstatus time age span school faminc female ow
> nhome relig mex difstatelaw_2017 [pweight=weight];

Multiple-imputation estimates                   Imputations       =        100
Linear regression                               Number of obs     =      2,560
                                                Average RVI       =     1.0633
                                                Largest FMI       =     0.6695
                                                Complete DF       =       2545
DF adjustment:   Small sample                   DF:     min       =     176.75
                                                        avg       =     308.01
                                                        max       =     422.95
Model F test:       Equal FMI                   F(  14, 1730.1)   =       2.82
Within VCE type:       Robust                   Prob > F          =     0.0003

----------------------------------------------------------------------------------
          nosay3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
          nosay1 |       .183   .0479579     3.82   0.000     .0883563    .2776438
       worryfin3 |   .0231346   .0439627     0.53   0.599    -.0633389    .1096081
                 |
     civicstatus |
              1  |   .1799067   .1566269     1.15   0.252    -.1282931    .4881065
              2  |  -.0327433   .1629034    -0.20   0.841    -.3534096     .287923
                 |
          timeus |   .0048407   .0057357     0.84   0.399     -.006452    .0161334
         agepool |  -.0027489   .0054817    -0.50   0.616    -.0135422    .0080444
        spanhome |    .023236   .0634947     0.37   0.715    -.1016387    .1481107
      schoolpool |   .0019925   .0167141     0.12   0.905    -.0308961    .0348812
      famincpool |  -.0981483   .0471699    -2.08   0.038     -.190928   -.0053686
          female |   .0529831   .1120422     0.47   0.637    -.1673785    .2733446
         ownhome |    .012725   .1230224     0.10   0.918    -.2293555    .2548056
       religpool |  -.0018439   .0402722    -0.05   0.964    -.0810613    .0773734
             mex |   .0294976   .1254846     0.24   0.814    -.2171534    .2761487
difstatelaw_2017 |  -.0079023   .0212498    -0.37   0.710     -.049722    .0339173
           _cons |   2.739258   .5742742     4.77   0.000      1.60865    3.869867
----------------------------------------------------------------------------------

. mi estimate: reg publicoffnocare3 publicoffnocare1   worryfin3 i.civicstatus time age span sc
> hool faminc female ownhome relig mex difstatelaw_2017 [pweight=weight];

Multiple-imputation estimates                   Imputations       =        100
Linear regression                               Number of obs     =      2,560
                                                Average RVI       =     1.2193
                                                Largest FMI       =     0.6950
                                                Complete DF       =       2545
DF adjustment:   Small sample                   DF:     min       =     163.78
                                                        avg       =     270.87
                                                        max       =     332.79
Model F test:       Equal FMI                   F(  14, 1645.3)   =       1.28
Within VCE type:       Robust                   Prob > F          =     0.2096

----------------------------------------------------------------------------------
publicoffnocare3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
publicoffnocare1 |   .1304499   .0490858     2.66   0.009     .0335273    .2273726
       worryfin3 |   .0017564   .0454135     0.04   0.969    -.0876916    .0912044
                 |
     civicstatus |
              1  |  -.1131246   .1469097    -0.77   0.442    -.4022752     .176026
              2  |  -.1043736   .1553675    -0.67   0.502    -.4104225    .2016753
                 |
          timeus |   .0031311   .0054495     0.57   0.566     -.007598    .0138603
         agepool |  -.0045621   .0049986    -0.91   0.362    -.0144029    .0052787
        spanhome |   .0452879   .0608466     0.74   0.457    -.0744156    .1649913
      schoolpool |   .0201822   .0148785     1.36   0.176    -.0090856    .0494499
      famincpool |  -.0095395   .0498509    -0.19   0.848    -.1077683    .0886894
          female |   .0278206   .1100311     0.25   0.801    -.1887947    .2444358
         ownhome |   .0779763   .1202347     0.65   0.517    -.1587855    .3147381
       religpool |  -.0336949     .03688    -0.91   0.362     -.106259    .0388691
             mex |   .0934767   .1264831     0.74   0.460    -.1554203    .3423738
difstatelaw_2017 |   -.012519   .0197716    -0.63   0.527    -.0514341     .026396
           _cons |   3.015161   .5117975     5.89   0.000     2.007367    4.022955
----------------------------------------------------------------------------------

. mi estimate: reg trustamer3 trustamer1  worryfin3 i.civicstatus time age span school faminc f
> emale ownhome relig mex difstatelaw_2017 [pweight=weight];

Multiple-imputation estimates                   Imputations       =        100
Linear regression                               Number of obs     =      2,560
                                                Average RVI       =     1.1898
                                                Largest FMI       =     0.6571
                                                Complete DF       =       2545
DF adjustment:   Small sample                   DF:     min       =     183.46
                                                        avg       =     288.32
                                                        max       =     416.50
Model F test:       Equal FMI                   F(  14, 1645.4)   =       4.99
Within VCE type:       Robust                   Prob > F          =     0.0000

----------------------------------------------------------------------------------
      trustamer3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
      trustamer1 |   .2188875   .0462065     4.74   0.000      .127723     .310052
       worryfin3 |  -.0404129   .0370181    -1.09   0.276    -.1132505    .0324248
                 |
     civicstatus |
              1  |    .128335   .1309496     0.98   0.328    -.1296026    .3862727
              2  |   .1214406   .1269066     0.96   0.339    -.1283754    .3712567
                 |
          timeus |  -.0028052   .0045458    -0.62   0.538    -.0117563     .006146
         agepool |   .0027293   .0042668     0.64   0.523    -.0056705    .0111292
        spanhome |  -.0903652   .0518599    -1.74   0.083    -.1924998    .0117695
      schoolpool |   .0480673   .0131497     3.66   0.000     .0221873    .0739473
      famincpool |  -.0285227   .0429187    -0.66   0.507    -.1131194    .0560739
          female |  -.1650575   .0868082    -1.90   0.058    -.3358017    .0056866
         ownhome |   .0414722   .1022663     0.41   0.685    -.1599803    .2429247
       religpool |  -.0065032   .0300473    -0.22   0.829    -.0655665    .0525601
             mex |   .1168803   .0995576     1.17   0.241    -.0789967    .3127573
difstatelaw_2017 |  -.0186067   .0174953    -1.06   0.288    -.0530409    .0158274
           _cons |   2.360267   .3880829     6.08   0.000     1.597384    3.123151
----------------------------------------------------------------------------------

. mi estimate: ologit return3 return1 worryfin3  i.civicstatus time age span school faminc fema
> le ownhome relig mex difstatelaw_2017 [pweight=weight];

Multiple-imputation estimates                   Imputations       =        100
Ordered logistic regression                     Number of obs     =      2,560
                                                Average RVI       =     1.0729
                                                Largest FMI       =     0.7421
DF adjustment:   Large sample                   DF:     min       =     181.14
                                                        avg       =     437.31
                                                        max       =     559.78
Model F test:       Equal FMI                   F(  14, 5226.4)   =       7.39
Within VCE type:       Robust                   Prob > F          =     0.0000

----------------------------------------------------------------------------------
         return3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
         return1 |   1.039479    .162438     6.40   0.000     .7189649    1.359993
       worryfin3 |   .0352407   .0679367     0.52   0.604    -.0982104    .1686919
                 |
     civicstatus |
              1  |  -.3056978   .2495333    -1.23   0.221     -.796401    .1850055
              2  |   -.329154    .255025    -1.29   0.198    -.8308842    .1725762
                 |
          timeus |  -.0149666   .0096619    -1.55   0.122    -.0339701    .0040369
         agepool |   -.009806   .0091599    -1.07   0.285    -.0278333    .0082214
        spanhome |   .0695542   .1126114     0.62   0.537    -.1517998    .2909081
      schoolpool |   -.004127   .0262489    -0.16   0.875    -.0557022    .0474482
      famincpool |  -.0285515   .0736047    -0.39   0.698    -.1731266    .1160236
          female |  -.4417183   .1718785    -2.57   0.010    -.7793771   -.1040595
         ownhome |   .1354177   .1936742     0.70   0.485    -.2450191    .5158546
       religpool |  -.0375327   .0639987    -0.59   0.558     -.163268    .0882026
             mex |   -.012012   .2069473    -0.06   0.954    -.4185883    .3945644
difstatelaw_2017 |  -.0127416   .0334545    -0.38   0.703    -.0784969    .0530137
-----------------+----------------------------------------------------------------
           /cut1 |    1.16461   .8297691                     -.4656568    2.794876
           /cut2 |   2.238482   .8552446                      .5578991    3.919066
----------------------------------------------------------------------------------

. mi estimate: logit immrally3 rally1 worryfin3  i.civicstatus time age span school faminc fema
> le ownhome relig mex difstatelaw_2017 [pweight=weight];

Multiple-imputation estimates                   Imputations       =        100
Logistic regression                             Number of obs     =      2,560
                                                Average RVI       =     0.8485
                                                Largest FMI       =     0.5597
DF adjustment:   Large sample                   DF:     min       =     319.19
                                                        avg       =     536.95
                                                        max       =     813.19
Model F test:       Equal FMI                   F(  14, 6820.3)   =       1.88
Within VCE type:       Robust                   Prob > F          =     0.0234

----------------------------------------------------------------------------------
       immrally3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
          rally1 |   .4551935   .3325731     1.37   0.172    -.1991187    1.109506
       worryfin3 |   .0439852   .0803938     0.55   0.585     -.113991    .2019614
                 |
     civicstatus |
              1  |  -.3974987   .2658007    -1.50   0.135    -.9195867    .1245893
              2  |  -.4613508   .2673503    -1.73   0.085    -.9867944    .0640929
                 |
          timeus |   .0178564   .0110835     1.61   0.108    -.0039317    .0396444
         agepool |  -.0318621   .0101775    -3.13   0.002    -.0518536   -.0118707
        spanhome |   .0031275   .1093841     0.03   0.977     -.211725    .2179801
      schoolpool |   .0083545   .0290748     0.29   0.774     -.048742     .065451
      famincpool |   .0496966   .0842244     0.59   0.555    -.1158439     .215237
          female |  -.1413619   .1901832    -0.74   0.458    -.5148825    .2321586
         ownhome |  -.0378247   .2310567    -0.16   0.870    -.4916574    .4160081
       religpool |  -.0037431   .0657262    -0.06   0.955    -.1327661      .12528
             mex |   .1224558   .2222889     0.55   0.582    -.3138718    .5587834
difstatelaw_2017 |   .0301162   .0387691     0.78   0.438    -.0460638    .1062962
           _cons |  -.4533453   .8877329    -0.51   0.610    -2.197708    1.291017
----------------------------------------------------------------------------------

. mi estimate: ologit partic3 partic1 worryfin3 i.civicstatus time age span school faminc femal
> e ownhome relig mex difstatelaw_2017 [pweight=weight];

Multiple-imputation estimates                   Imputations       =        100
Ordered logistic regression                     Number of obs     =      2,560
                                                Average RVI       =     0.9781
                                                Largest FMI       =     0.6220
DF adjustment:   Large sample                   DF:     min       =     258.35
                                                        avg       =     403.65
                                                        max       =     606.68
Model F test:       Equal FMI                   F(  14, 5551.6)   =       8.91
Within VCE type:       Robust                   Prob > F          =     0.0000

----------------------------------------------------------------------------------
         partic3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
         partic1 |   .8619121   .1170104     7.37   0.000     .6314964    1.092328
       worryfin3 |   .0560119   .0688087     0.81   0.416     -.079248    .1912719
                 |
     civicstatus |
              1  |  -.1722289   .2251789    -0.76   0.445    -.6148427    .2703849
              2  |  -.2250842   .2409674    -0.93   0.351    -.6990146    .2488462
                 |
          timeus |   .0176005   .0085962     2.05   0.041     .0006959    .0345052
         agepool |  -.0177725   .0082392    -2.16   0.032    -.0339781   -.0015669
        spanhome |   .0338015   .0893727     0.38   0.705    -.1418579    .2094608
      schoolpool |   .0475031   .0235142     2.02   0.044     .0012972    .0937091
      famincpool |   .1354473   .0745141     1.82   0.070    -.0112338    .2821284
          female |    .017344   .1588627     0.11   0.913      -.29477     .329458
         ownhome |   .0143932   .1705926     0.08   0.933    -.3207437    .3495302
       religpool |   .0907839   .0550186     1.65   0.099    -.0172661    .1988339
             mex |   .1667599   .1857416     0.90   0.370    -.1982167    .5317366
difstatelaw_2017 |   .0452457   .0338769     1.34   0.182    -.0213673    .1118587
-----------------+----------------------------------------------------------------
           /cut1 |    1.86121   .7341988                      .4174204    3.304999
           /cut2 |   3.264686   .7528188                      1.784034    4.745338
           /cut3 |   4.773223   .7597736                      3.278803    6.267642
----------------------------------------------------------------------------------

. *** commands for supplemental online Table S2;
. reg trustwash3 trustwash1 worrydeport3   i.civicstatus time age span school faminc female own
> home relig mex difstatelaw_2017 [pweight=weight] if _mi_m==0;
(sum of wgt is 352.5008185505867)

Linear regression                               Number of obs     =        366
                                                F(14, 351)        =       2.86
                                                Prob > F          =     0.0004
                                                R-squared         =     0.1206
                                                Root MSE          =     .65844

----------------------------------------------------------------------------------
                 |               Robust
      trustwash3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
      trustwash1 |   .1649964   .0626494     2.63   0.009      .041781    .2882118
    worrydeport3 |  -.0439938   .0334496    -1.32   0.189    -.1097806    .0217931
                 |
     civicstatus |
              1  |   .2633739   .1132698     2.33   0.021     .0406011    .4861468
              2  |   .0755602    .113733     0.66   0.507    -.1481237    .2992442
                 |
          timeus |   .0036498   .0045392     0.80   0.422    -.0052776    .0125772
         agepool |   .0017735   .0044695     0.40   0.692    -.0070168    .0105638
        spanhome |  -.0419466   .0489396    -0.86   0.392    -.1381983    .0543051
      schoolpool |  -.0009553   .0115068    -0.08   0.934    -.0235863    .0216758
      famincpool |  -.0337717   .0275418    -1.23   0.221    -.0879394     .020396
          female |  -.2244113    .091097    -2.46   0.014     -.403576   -.0452466
         ownhome |  -.0863635   .1059323    -0.82   0.415    -.2947053    .1219783
       religpool |   .0132647   .0326044     0.41   0.684    -.0508599    .0773893
             mex |   .0219516   .0926925     0.24   0.813    -.1603509    .2042541
difstatelaw_2017 |  -.0005197   .0129841    -0.04   0.968    -.0260561    .0250168
           _cons |   2.127399   .5089692     4.18   0.000     1.126386    3.128412
----------------------------------------------------------------------------------

. reg nosay3 nosay1 worrydeport3  i.civicstatus time age span school faminc female ownhome reli
> g mex difstatelaw_2017 [pweight=weight] if _mi_m==0;
(sum of wgt is 359.6403197646141)

Linear regression                               Number of obs     =        380
                                                F(14, 365)        =       3.68
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1337
                                                Root MSE          =      1.457

----------------------------------------------------------------------------------
                 |               Robust
          nosay3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
          nosay1 |    .246863   .0646585     3.82   0.000     .1197131    .3740129
    worrydeport3 |  -.0038894   .0719454    -0.05   0.957    -.1453689    .1375902
                 |
     civicstatus |
              1  |   .1942685   .2639999     0.74   0.462    -.3248833    .7134203
              2  |  -.2109134   .2807422    -0.75   0.453    -.7629885    .3411618
                 |
          timeus |   .0020868    .009796     0.21   0.831    -.0171768    .0213504
         agepool |   .0032458   .0087711     0.37   0.712    -.0140025    .0204941
        spanhome |  -.0155732   .1039586    -0.15   0.881    -.2200061    .1888598
      schoolpool |   .0034696   .0313184     0.11   0.912    -.0581175    .0650568
      famincpool |   -.123215   .0749689    -1.64   0.101    -.2706403    .0242102
          female |    .186182   .1905997     0.98   0.329    -.1886294    .5609934
         ownhome |   .4344445   .2143744     2.03   0.043     .0128805    .8560084
       religpool |  -.1417664    .074852    -1.89   0.059    -.2889616    .0054289
             mex |   .2034119    .235896     0.86   0.389     -.260474    .6672978
difstatelaw_2017 |   .0106622   .0332279     0.32   0.748    -.0546799    .0760043
           _cons |   2.673244   .8753098     3.05   0.002     .9519606    4.394527
----------------------------------------------------------------------------------

. reg publicoffnocare3 publicoffnocare1  worrydeport3  i.civicstatus time age span school famin
> c female ownhome relig mex difstatelaw_2017 [pweight=weight] if _mi_m==0;
(sum of wgt is 363.1745690703392)

Linear regression                               Number of obs     =        381
                                                F(14, 366)        =       2.81
                                                Prob > F          =     0.0005
                                                R-squared         =     0.1092
                                                Root MSE          =     1.3047

----------------------------------------------------------------------------------
                 |               Robust
publicoffnocare3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
publicoffnocare1 |   .2335666   .0620009     3.77   0.000     .1116439    .3554893
    worrydeport3 |   -.058105   .0594558    -0.98   0.329    -.1750227    .0588128
                 |
     civicstatus |
              1  |  -.4990271   .2443532    -2.04   0.042    -.9795396   -.0185146
              2  |  -.3554702   .2284778    -1.56   0.121    -.8047642    .0938238
                 |
          timeus |  -.0001404   .0089993    -0.02   0.988    -.0178372    .0175564
         agepool |   .0093755   .0081803     1.15   0.252    -.0067107    .0254618
        spanhome |  -.0191023    .104657    -0.18   0.855    -.2249069    .1867022
      schoolpool |   .0427449   .0252913     1.69   0.092    -.0069897    .0924794
      famincpool |  -.1065684   .0692084    -1.54   0.124    -.2426645    .0295277
          female |   .0756698   .1582494     0.48   0.633    -.2355223     .386862
         ownhome |   .4926232   .1833264     2.69   0.008     .1321179    .8531284
       religpool |   -.133498   .0654151    -2.04   0.042    -.2621346   -.0048613
             mex |   .1605476   .2080774     0.77   0.441    -.2486298    .5697249
difstatelaw_2017 |   .0152522   .0306512     0.50   0.619    -.0450224    .0755268
           _cons |   2.733149   .7732836     3.53   0.000     1.212512    4.253786
----------------------------------------------------------------------------------

. reg trustamer3 trustamer1 worrydeport3  i.civicstatus time age span school faminc female ownh
> ome relig mex difstatelaw_2017 [pweight=weight] if _mi_m==0;
(sum of wgt is 362.2595901191235)

Linear regression                               Number of obs     =        381
                                                F(14, 366)        =       8.42
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2489
                                                Root MSE          =     .92236

----------------------------------------------------------------------------------
                 |               Robust
      trustamer3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
      trustamer1 |   .3490651    .058412     5.98   0.000     .2341997    .4639304
    worrydeport3 |   .0423187   .0424438     1.00   0.319    -.0411456     .125783
                 |
     civicstatus |
              1  |   .3175073     .18268     1.74   0.083    -.0417269    .6767415
              2  |   .1928261   .1800811     1.07   0.285    -.1612974    .5469497
                 |
          timeus |  -.0085942   .0056917    -1.51   0.132    -.0197867    .0025983
         agepool |   .0113176   .0054666     2.07   0.039     .0005678    .0220675
        spanhome |  -.2041241   .0681637    -2.99   0.003    -.3381658   -.0700825
      schoolpool |   .0491762   .0171364     2.87   0.004      .015478    .0828744
      famincpool |  -.0002463   .0462363    -0.01   0.996    -.0911684    .0906758
          female |  -.1869717   .1177044    -1.59   0.113    -.4184334    .0444901
         ownhome |   .0030723   .1403591     0.02   0.983    -.2729392    .2790837
       religpool |  -.0251925   .0510404    -0.49   0.622    -.1255618    .0751767
             mex |  -.0147377   .1407903    -0.10   0.917    -.2915971    .2621217
difstatelaw_2017 |  -.0200455   .0215638    -0.93   0.353      -.06245    .0223591
           _cons |   1.927851   .4647519     4.15   0.000     1.013932     2.84177
----------------------------------------------------------------------------------

. ologit return3 return1 worrydeport3  i.civicstatus time age span school faminc female ownhome
>  relig mex difstatelaw_2017 [pweight=weight] if _mi_m==0;

Iteration 0:   log pseudolikelihood = -216.96633  
Iteration 1:   log pseudolikelihood = -176.98045  
Iteration 2:   log pseudolikelihood = -171.55062  
Iteration 3:   log pseudolikelihood = -171.34794  
Iteration 4:   log pseudolikelihood = -171.34764  
Iteration 5:   log pseudolikelihood = -171.34764  

Ordered logistic regression                     Number of obs     =        398
                                                Wald chi2(14)     =      67.78
                                                Prob > chi2       =     0.0000
Log pseudolikelihood = -171.34764               Pseudo R2         =     0.2103

----------------------------------------------------------------------------------
                 |               Robust
         return3 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
         return1 |   1.439772   .2080379     6.92   0.000     1.032025    1.847519
    worrydeport3 |   .2422115   .1432313     1.69   0.091    -.0385168    .5229397
                 |
     civicstatus |
              1  |    .457556   .5702306     0.80   0.422    -.6600754    1.575187
              2  |  -.0953398   .5803347    -0.16   0.870    -1.232775    1.042095
                 |
          timeus |  -.0389156   .0186033    -2.09   0.036    -.0753773   -.0024539
         agepool |   .0136726   .0154196     0.89   0.375    -.0165492    .0438944
        spanhome |   .1480722   .2044633     0.72   0.469    -.2526686    .5488129
      schoolpool |    .095148   .0567651     1.68   0.094    -.0161096    .2064055
      famincpool |  -.1225012   .1403991    -0.87   0.383    -.3976785     .152676
          female |  -1.032523    .372244    -2.77   0.006    -1.762108   -.3029377
         ownhome |   .5889036   .4646119     1.27   0.205     -.321719    1.499526
       religpool |   .0454445   .1440512     0.32   0.752    -.2368907    .3277797
             mex |  -.2459503   .4661717    -0.53   0.598     -1.15963    .6677293
difstatelaw_2017 |   .0351995   .0707534     0.50   0.619    -.1034746    .1738736
-----------------+----------------------------------------------------------------
           /cut1 |   5.130812   1.899597                       1.40767    8.853955
           /cut2 |   5.371602   1.911308                      1.625507    9.117697
----------------------------------------------------------------------------------

. logit immrally3 rally1 worrydeport3  i.civicstatus time age span school faminc female ownhome
>  relig mex difstatelaw_2017 [pweight=weight] if _mi_m==0;

Iteration 0:   log pseudolikelihood = -193.72691  
Iteration 1:   log pseudolikelihood = -151.88859  
Iteration 2:   log pseudolikelihood = -146.13656  
Iteration 3:   log pseudolikelihood = -146.01541  
Iteration 4:   log pseudolikelihood = -146.01512  
Iteration 5:   log pseudolikelihood = -146.01512  

Logistic regression                             Number of obs     =        396
                                                Wald chi2(14)     =      51.76
                                                Prob > chi2       =     0.0000
Log pseudolikelihood = -146.01512               Pseudo R2         =     0.2463

----------------------------------------------------------------------------------
                 |               Robust
       immrally3 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
          rally1 |   .8601616     .61724     1.39   0.163    -.3496065     2.06993
    worrydeport3 |   .6452182   .1463266     4.41   0.000     .3584232    .9320131
                 |
     civicstatus |
              1  |  -.3105375   .5141833    -0.60   0.546    -1.318318    .6972432
              2  |  -.2723538   .5163959    -0.53   0.598    -1.284471    .7397636
                 |
          timeus |   .0319579   .0211493     1.51   0.131    -.0094939    .0734097
         agepool |  -.0630472    .020801    -3.03   0.002    -.1038164    -.022278
        spanhome |   .0608739   .1949134     0.31   0.755    -.3211493    .4428971
      schoolpool |    .015622   .0542543     0.29   0.773    -.0907146    .1219585
      famincpool |   .0189253   .1562483     0.12   0.904    -.2873158    .3251663
          female |   -.110432   .3830014    -0.29   0.773    -.8611009     .640237
         ownhome |   .3334415    .464473     0.72   0.473    -.5769089    1.243792
       religpool |   .2506594   .1465284     1.71   0.087    -.0365311    .5378498
             mex |   .1929653    .470467     0.41   0.682     -.729133    1.115064
difstatelaw_2017 |   .2425455   .0869076     2.79   0.005     .0722097    .4128814
           _cons |  -4.073385   1.734063    -2.35   0.019    -7.472086   -.6746841
----------------------------------------------------------------------------------

. ologit partic3 partic1 worrydeport3  i.civicstatus time age span school faminc female ownhome
>  relig mex difstatelaw_2017 [pweight=weight] if _mi_m==0;

Iteration 0:   log pseudolikelihood = -394.84432  
Iteration 1:   log pseudolikelihood = -313.20273  
Iteration 2:   log pseudolikelihood = -302.24577  
Iteration 3:   log pseudolikelihood = -301.98522  
Iteration 4:   log pseudolikelihood = -301.98468  
Iteration 5:   log pseudolikelihood = -301.98468  

Ordered logistic regression                     Number of obs     =        393
                                                Wald chi2(14)     =     114.21
                                                Prob > chi2       =     0.0000
Log pseudolikelihood = -301.98468               Pseudo R2         =     0.2352

----------------------------------------------------------------------------------
                 |               Robust
         partic3 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
         partic1 |   1.244362   .2007442     6.20   0.000     .8509106    1.637814
    worrydeport3 |   .1865289   .0993109     1.88   0.060    -.0081169    .3811747
                 |
     civicstatus |
              1  |  -.6173065   .4225423    -1.46   0.144    -1.445474    .2108612
              2  |  -.6423107   .4707448    -1.36   0.172    -1.564954    .2803322
                 |
          timeus |   .0165446   .0151851     1.09   0.276    -.0132175    .0463068
         agepool |  -.0009882   .0139114    -0.07   0.943     -.028254    .0262776
        spanhome |  -.1868688   .1422095    -1.31   0.189    -.4655943    .0918568
      schoolpool |   .1194973    .052881     2.26   0.024     .0158524    .2231422
      famincpool |    .227292   .0998148     2.28   0.023     .0316586    .4229254
          female |   .3152547   .2918134     1.08   0.280    -.2566891    .8871984
         ownhome |   .2210148   .3345063     0.66   0.509    -.4346054     .876635
       religpool |   .1243051   .1261148     0.99   0.324    -.1228753    .3714855
             mex |  -.0157428   .3806735    -0.04   0.967    -.7618492    .7303636
difstatelaw_2017 |   .2188096   .0713454     3.07   0.002     .0789752    .3586439
-----------------+----------------------------------------------------------------
           /cut1 |   4.099733   1.277557                      1.595766    6.603699
           /cut2 |   5.383233   1.282349                      2.869875     7.89659
           /cut3 |    7.20466   1.300156                        4.6564     9.75292
----------------------------------------------------------------------------------

. ** impact of financial worries (measured in W3) on civic attitudes / participation;
. reg trustwash3 trustwash1  worryfin3  i.civicstatus time age span school faminc female ownhom
> e relig mex difstatelaw_2017 [pweight=weight] if _mi_m==0;
(sum of wgt is 353.7543804049492)

Linear regression                               Number of obs     =        368
                                                F(14, 353)        =       2.66
                                                Prob > F          =     0.0010
                                                R-squared         =     0.1185
                                                Root MSE          =     .65824

----------------------------------------------------------------------------------
                 |               Robust
      trustwash3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
      trustwash1 |   .1687639    .062736     2.69   0.007     .0453805    .2921473
       worryfin3 |  -.0462758   .0325934    -1.42   0.157    -.1103775    .0178258
                 |
     civicstatus |
              1  |   .2739074   .1170615     2.34   0.020     .0436816    .5041331
              2  |   .0806305   .1166692     0.69   0.490    -.1488236    .3100846
                 |
          timeus |   .0036906   .0046266     0.80   0.426    -.0054085    .0127897
         agepool |   .0019895   .0044323     0.45   0.654    -.0067275    .0107066
        spanhome |  -.0378813   .0487992    -0.78   0.438    -.1338551    .0580925
      schoolpool |  -.0003704   .0115624    -0.03   0.974    -.0231102    .0223693
      famincpool |  -.0321595   .0257833    -1.25   0.213    -.0828677    .0185487
          female |  -.2180011    .093064    -2.34   0.020    -.4010307   -.0349715
         ownhome |  -.0894441   .1051505    -0.85   0.396    -.2962443    .1173562
       religpool |   .0087535   .0333552     0.26   0.793    -.0568464    .0743534
             mex |   .0040371   .0955018     0.04   0.966     -.183787    .1918612
difstatelaw_2017 |  -.0006327   .0131008    -0.05   0.962    -.0263981    .0251327
           _cons |   2.090323   .4646176     4.50   0.000     1.176557     3.00409
----------------------------------------------------------------------------------

. reg nosay3 nosay1  worryfin3 i.civicstatus time age span school faminc female ownhome relig m
> ex difstatelaw_2017 [pweight=weight] if _mi_m==0;
(sum of wgt is 361.4799010157585)

Linear regression                               Number of obs     =        384
                                                F(14, 369)        =       4.10
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1354
                                                Root MSE          =     1.4547

----------------------------------------------------------------------------------
                 |               Robust
          nosay3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
          nosay1 |   .2344794   .0635011     3.69   0.000     .1096098    .3593489
       worryfin3 |   .1199655    .086327     1.39   0.165     -.049789    .2897201
                 |
     civicstatus |
              1  |   .2373859   .2597127     0.91   0.361    -.2733167    .7480884
              2  |  -.1627487   .2770132    -0.59   0.557    -.7074712    .3819739
                 |
          timeus |    .003275   .0098654     0.33   0.740    -.0161245    .0226745
         agepool |   .0023985   .0087047     0.28   0.783    -.0147186    .0195156
        spanhome |     -.0094    .100724    -0.09   0.926     -.207465    .1886651
      schoolpool |  -.0006566   .0304449    -0.02   0.983     -.060524    .0592107
      famincpool |  -.1051832   .0747599    -1.41   0.160    -.2521922    .0418257
          female |    .134836   .1826074     0.74   0.461    -.2242456    .4939176
         ownhome |   .4284358   .2130153     2.01   0.045     .0095596    .8473119
       religpool |  -.1309836   .0728526    -1.80   0.073     -.274242    .0122747
             mex |   .2234894   .2272304     0.98   0.326    -.2233395    .6703183
difstatelaw_2017 |   .0091556   .0329327     0.28   0.781    -.0556036    .0739149
           _cons |   2.291137   .8618926     2.66   0.008     .5962997    3.985974
----------------------------------------------------------------------------------

. reg publicoffnocare3 publicoffnocare1   worryfin3 i.civicstatus time age span school faminc f
> emale ownhome relig mex difstatelaw_2017 [pweight=weight] if _mi_m==0;
(sum of wgt is 365.0141503214836)

Linear regression                               Number of obs     =        385
                                                F(14, 370)        =       2.75
                                                Prob > F          =     0.0007
                                                R-squared         =     0.1041
                                                Root MSE          =     1.3071

----------------------------------------------------------------------------------
                 |               Robust
publicoffnocare3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
publicoffnocare1 |    .233118   .0616976     3.78   0.000      .111796      .35444
       worryfin3 |   .0039643   .0839914     0.05   0.962     -.161196    .1691246
                 |
     civicstatus |
              1  |  -.4607748   .2443483    -1.89   0.060    -.9412605    .0197108
              2  |   -.318965   .2239557    -1.42   0.155    -.7593506    .1214205
                 |
          timeus |   .0005602    .008909     0.06   0.950    -.0169583    .0180788
         agepool |   .0092208   .0081471     1.13   0.258    -.0067996    .0252413
        spanhome |   -.009973   .1073662    -0.09   0.926    -.2210975    .2011516
      schoolpool |   .0411494   .0250736     1.64   0.102    -.0081553    .0904541
      famincpool |   -.096147   .0712022    -1.35   0.178    -.2361587    .0438647
          female |   .0625079    .161837     0.39   0.700    -.2557278    .3807435
         ownhome |   .4834491   .1837412     2.63   0.009     .1221411    .8447571
       religpool |  -.1345602   .0658415    -2.04   0.042    -.2640306   -.0050897
             mex |   .1466186   .2041355     0.72   0.473    -.2547926    .5480298
difstatelaw_2017 |   .0151369   .0309797     0.49   0.625    -.0457814    .0760553
           _cons |   2.471454   .7994167     3.09   0.002     .8994842    4.043424
----------------------------------------------------------------------------------

. reg trustamer3 trustamer1  worryfin3 i.civicstatus time age span school faminc female ownhome
>  relig mex difstatelaw_2017 [pweight=weight] if _mi_m==0;
(sum of wgt is 363.8061616718769)

Linear regression                               Number of obs     =        384
                                                F(14, 369)        =       8.47
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2470
                                                Root MSE          =     .92147

----------------------------------------------------------------------------------
                 |               Robust
      trustamer3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
      trustamer1 |   .3485735   .0581351     6.00   0.000      .234256    .4628911
       worryfin3 |  -.0284093   .0563179    -0.50   0.614    -.1391536    .0823351
                 |
     civicstatus |
              1  |   .2854288   .1846835     1.55   0.123    -.0777353    .6485929
              2  |   .1629317   .1825901     0.89   0.373     -.196116    .5219793
                 |
          timeus |  -.0094034   .0056136    -1.68   0.095    -.0204421    .0016354
         agepool |   .0112397   .0055568     2.02   0.044     .0003129    .0221666
        spanhome |  -.2112301   .0662492    -3.19   0.002    -.3415034   -.0809569
      schoolpool |   .0504765    .017506     2.88   0.004     .0160526    .0849005
      famincpool |  -.0115855   .0467531    -0.25   0.804    -.1035215    .0803504
          female |  -.1723528    .115484    -1.49   0.136    -.3994422    .0547366
         ownhome |   .0072934   .1415484     0.05   0.959    -.2710494    .2856362
       religpool |  -.0240478   .0506134    -0.48   0.635    -.1235748    .0754791
             mex |   .0001626   .1407294     0.00   0.999    -.2765697    .2768949
difstatelaw_2017 |   -.019083   .0217243    -0.88   0.380    -.0618019    .0236359
           _cons |   2.210756   .4773281     4.63   0.000     1.272131     3.14938
----------------------------------------------------------------------------------

. ologit return3 return1 worryfin3  i.civicstatus time age span school faminc female ownhome re
> lig mex difstatelaw_2017 [pweight=weight] if _mi_m==0;

Iteration 0:   log pseudolikelihood = -217.31177  
Iteration 1:   log pseudolikelihood = -177.58428  
Iteration 2:   log pseudolikelihood = -172.19816  
Iteration 3:   log pseudolikelihood =  -171.9905  
Iteration 4:   log pseudolikelihood = -171.99021  
Iteration 5:   log pseudolikelihood = -171.99021  

Ordered logistic regression                     Number of obs     =        401
                                                Wald chi2(14)     =      67.88
                                                Prob > chi2       =     0.0000
Log pseudolikelihood = -171.99021               Pseudo R2         =     0.2086

----------------------------------------------------------------------------------
                 |               Robust
         return3 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
         return1 |   1.503722   .2095755     7.18   0.000     1.092962    1.914483
       worryfin3 |   .2482835   .1706997     1.45   0.146    -.0862817    .5828488
                 |
     civicstatus |
              1  |   .4261905   .5814711     0.73   0.464    -.7134718    1.565853
              2  |  -.0749488   .5833254    -0.13   0.898    -1.218246    1.068348
                 |
          timeus |   -.038048   .0184092    -2.07   0.039    -.0741294   -.0019666
         agepool |   .0088984   .0159962     0.56   0.578    -.0224536    .0402505
        spanhome |     .13947   .2103881     0.66   0.507    -.2728831    .5518231
      schoolpool |   .0954222   .0583449     1.64   0.102    -.0189318    .2097762
      famincpool |  -.1658336   .1446007    -1.15   0.251    -.4492457    .1175786
          female |  -1.081619   .3956306    -2.73   0.006    -1.857041   -.3061975
         ownhome |   .5746482   .4601939     1.25   0.212    -.3273152    1.476612
       religpool |   .0576304   .1399327     0.41   0.680    -.2166327    .3318935
             mex |  -.1754338   .4646894    -0.38   0.706    -1.086208    .7353408
difstatelaw_2017 |   .0370621   .0744437     0.50   0.619    -.1088448     .182969
-----------------+----------------------------------------------------------------
           /cut1 |   4.849263   1.742803                      1.433432    8.265095
           /cut2 |   5.088207   1.746242                      1.665636    8.510779
----------------------------------------------------------------------------------

. logit immrally3 rally1 worryfin3  i.civicstatus time age span school faminc female ownhome re
> lig mex difstatelaw_2017 [pweight=weight] if _mi_m==0;

Iteration 0:   log pseudolikelihood = -195.03701  
Iteration 1:   log pseudolikelihood = -163.18126  
Iteration 2:   log pseudolikelihood = -160.05548  
Iteration 3:   log pseudolikelihood =  -160.0298  
Iteration 4:   log pseudolikelihood = -160.02979  

Logistic regression                             Number of obs     =        399
                                                Wald chi2(14)     =      34.44
                                                Prob > chi2       =     0.0018
Log pseudolikelihood = -160.02979               Pseudo R2         =     0.1795

----------------------------------------------------------------------------------
                 |               Robust
       immrally3 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
          rally1 |   .8898699     .58922     1.51   0.131      -.26498     2.04472
       worryfin3 |   .0886957   .1659638     0.53   0.593    -.2365874    .4139788
                 |
     civicstatus |
              1  |  -.5645731   .5120619    -1.10   0.270    -1.568196    .4390499
              2  |  -.5059612   .5022279    -1.01   0.314     -1.49031    .4783874
                 |
          timeus |   .0162932   .0196853     0.83   0.408    -.0222894    .0548758
         agepool |  -.0560206   .0205406    -2.73   0.006    -.0962795   -.0157617
        spanhome |  -.0644266   .2047148    -0.31   0.753    -.4656602     .336807
      schoolpool |     .01784   .0533826     0.33   0.738     -.086788    .1224679
      famincpool |  -.0759132   .1577283    -0.48   0.630    -.3850549    .2332286
          female |  -.0276425   .3886653    -0.07   0.943    -.7894125    .7341276
         ownhome |    .411374   .4433175     0.93   0.353    -.4575123     1.28026
       religpool |   .2615285   .1376004     1.90   0.057    -.0081633    .5312203
             mex |   .3343943   .4393682     0.76   0.447    -.5267516     1.19554
difstatelaw_2017 |   .2263783   .0863201     2.62   0.009      .057194    .3955625
           _cons |  -1.251891   1.582429    -0.79   0.429    -4.353396    1.849614
----------------------------------------------------------------------------------

. ologit partic3 partic1 worryfin3 i.civicstatus time age span school faminc female ownhome rel
> ig mex difstatelaw_2017 [pweight=weight] if _mi_m==0;

Iteration 0:   log pseudolikelihood = -397.07377  
Iteration 1:   log pseudolikelihood =  -314.4913  
Iteration 2:   log pseudolikelihood =  -303.7623  
Iteration 3:   log pseudolikelihood =   -303.513  
Iteration 4:   log pseudolikelihood = -303.51247  
Iteration 5:   log pseudolikelihood = -303.51247  

Ordered logistic regression                     Number of obs     =        396
                                                Wald chi2(14)     =      98.73
                                                Prob > chi2       =     0.0000
Log pseudolikelihood = -303.51247               Pseudo R2         =     0.2356

----------------------------------------------------------------------------------
                 |               Robust
         partic3 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
         partic1 |   1.270885   .1875088     6.78   0.000     .9033742    1.638395
       worryfin3 |    .253735   .1615886     1.57   0.116    -.0629729    .5704429
                 |
     civicstatus |
              1  |  -.6419258   .4090955    -1.57   0.117    -1.443738    .1598865
              2  |  -.6462844   .4497593    -1.44   0.151    -1.527796    .2352276
                 |
          timeus |    .015144   .0152111     1.00   0.319    -.0146692    .0449572
         agepool |  -.0014088   .0137015    -0.10   0.918    -.0282633    .0254456
        spanhome |  -.2073135    .140768    -1.47   0.141    -.4832138    .0685867
      schoolpool |   .1167095   .0528269     2.21   0.027     .0131706    .2202484
      famincpool |   .2337501    .108541     2.15   0.031     .0210137    .4464865
          female |    .247855   .2954668     0.84   0.402    -.3312493    .8269593
         ownhome |   .2532698   .3432058     0.74   0.461    -.4194011    .9259407
       religpool |   .1616604   .1198586     1.35   0.177    -.0732581    .3965788
             mex |   .0610611   .3928906     0.16   0.876    -.7089904    .8311125
difstatelaw_2017 |   .2223432   .0697254     3.19   0.001     .0856839    .3590025
-----------------+----------------------------------------------------------------
           /cut1 |    4.24943   1.383647                      1.537531    6.961329
           /cut2 |   5.530213   1.403232                      2.779928    8.280498
           /cut3 |   7.342996    1.40484                      4.589561    10.09643
----------------------------------------------------------------------------------

. stop

end of do-file

. exit,clear
